Explanations are often discussed in the context of trust (e.g., [1]}), but explanations alone are not sufficient for trust in ML models. Explanation, as a general concept, is related more directly to understanding and transparency than to trust.The Merriam-Webster definition of explain, accessed Sept. 8th 2019, does not mention trust. Simply put, one can understand and explain a model without trusting it. One can also trust a model and not be able to understand or explain it. Consider the following example scenarios.
